Triple
T12894058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Koch |
E308445
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Napola
Napola is a 2004 German drama film (also known as "Before the Fall") that portrays the indoctrination and moral conflict of youths attending an elite Nazi boarding school during World War II.
|
E1008806
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Napola | Statement: [Sebastian Koch, notableWork, Napola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Napola Context triple: [Sebastian Koch, notableWork, Napola]
-
A.
Papaleo
Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
-
B.
Forlani
Forlani is an Italian surname most notably associated with English actress Claire Forlani.
-
C.
Laurenti
Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
-
D.
Benito
Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
-
E.
Lyautey
Lyautey is a French surname most prominently associated with Marshal Hubert Lyautey, a key military leader and colonial administrator in early 20th-century France.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Napola Triple: [Sebastian Koch, notableWork, Napola]
Generated description
Napola is a 2004 German drama film (also known as "Before the Fall") that portrays the indoctrination and moral conflict of youths attending an elite Nazi boarding school during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Napola Target entity description: Napola is a 2004 German drama film (also known as "Before the Fall") that portrays the indoctrination and moral conflict of youths attending an elite Nazi boarding school during World War II.
-
A.
Papaleo
Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
-
B.
Forlani
Forlani is an Italian surname most notably associated with English actress Claire Forlani.
-
C.
Laurenti
Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
-
D.
Benito
Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
-
E.
Lyautey
Lyautey is a French surname most prominently associated with Marshal Hubert Lyautey, a key military leader and colonial administrator in early 20th-century France.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55daf788190be72af98b288bd70 |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a641d1988190b9af41c8c7ca599e |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a77ba20081908f72f46f64382fca |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 9, 2026, 5:40 p.m.